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Pricing VIX options with volatility clustering
Authors:Bo Jing  Shenghong Li  Yong Ma
Institution:1. Department of Mathematics, School of Mathematical Sciences, Zhejiang University, Hangzhou, China;2. Department of Financial Engineering, College of Finance and Statistics, Hunan University, Changsha, China
Abstract:We investigate the valuation of volatility index (VIX) options by developing a model with a self-exciting Hawkes process that allows for clustering in the VIX. In the proposed framework, we find semianalytical expressions for the characteristic function and forward characteristic function, and then we solve the pricing problem of standard-start and forward-start options via the fast Fourier transform. The empirical results provide evidence to support the significance of accounting for volatility clustering when pricing VIX options.
Keywords:fast Fourier transform  self-exciting Hawkes process  VIX options  volatility clustering
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